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Phi-3-mini-128k-instruct-GGUF

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- ---
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- base_model: microsoft/Phi-3-mini-128k-instruct
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- license: mit
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- license_link: https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/resolve/main/LICENSE
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- language:
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- - en
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- pipeline_tag: text-generation
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- model_creator: Microsoft
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- model_name: Phi 3 mini 128k instruct
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- model_type: phi-msft
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- quantized_by: Second State Inc.
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- tags:
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- - nlp
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- - code
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- ---
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-
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- <!-- header start -->
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- <!-- 200823 -->
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- <div style="width: auto; margin-left: auto; margin-right: auto">
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- <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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- </div>
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- <hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
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- <!-- header end -->
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-
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- # Phi-3-mini-128k-instruct-GGUF
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-
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- ## Original Model
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-
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- [microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct)
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-
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- ## Run with LlamaEdge
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-
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- <!-- - LlamaEdge version: [v0.8.4](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.8.4) and above -->
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-
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- - LlamaEdge version: coming soon
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-
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- - Prompt template
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-
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- - Prompt type: `phi-3-chat`
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-
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- - Prompt string
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-
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- ```text
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- <|system|>
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- {system_message}<|end|>
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- <|user|>
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- {user_message_1}<|end|>
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- <|assistant|>
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- {assistant_message_1}<|end|>
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- <|user|>
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- {user_message_2}<|end|>
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- <|assistant|>
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- ```
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-
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- - Context size: `3072`
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-
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- <!-- - Run as LlamaEdge service
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-
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- ```bash
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- wasmedge --dir .:. --nn-preload default:GGML:AUTO:Phi-3-mini-128k-instruct-Q5_K_M.gguf \
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- llama-api-server.wasm \
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- --prompt-template phi-3-chat \
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- --ctx-size 3072 \
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- --model-name phi-3-mini
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- ```
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-
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- - Run as LlamaEdge command app
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-
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- ```bash
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- wasmedge --dir .:. --nn-preload default:GGML:AUTO:Phi-3-mini-128k-instruct-Q5_K_M.gguf \
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- llama-chat.wasm \
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- --prompt-template phi-3-chat \
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- --ctx-size 3072 \
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- ``` -->
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-
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- ## Quantized GGUF Models
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-
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- | Name | Quant method | Bits | Size | Use case |
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- | ---- | ---- | ---- | ---- | ----- |
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- | [Phi-3-mini-128k-instruct-Q2_K.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q2_K.gguf) | Q2_K | 2 | 1.42 GB| smallest, significant quality loss - not recommended for most purposes |
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- | [Phi-3-mini-128k-instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 2.09 GB| small, substantial quality loss |
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- | [Phi-3-mini-128k-instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 1.96 GB| very small, high quality loss |
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- | [Phi-3-mini-128k-instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 1.68 GB| very small, high quality loss |
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- | [Phi-3-mini-128k-instruct-Q4_0.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q4_0.gguf) | Q4_0 | 4 | 2.18 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
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- | [Phi-3-mini-128k-instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 2.39 GB| medium, balanced quality - recommended |
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- | [Phi-3-mini-128k-instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 2.19 GB| small, greater quality loss |
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- | [Phi-3-mini-128k-instruct-Q5_0.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q5_0.gguf) | Q5_0 | 5 | 2.64 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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- | [Phi-3-mini-128k-instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 2.82 GB| large, very low quality loss - recommended |
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- | [Phi-3-mini-128k-instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 2.64 GB| large, low quality loss - recommended |
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- | [Phi-3-mini-128k-instruct-Q6_K.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q6_K.gguf) | Q6_K | 6 | 3.14 GB| very large, extremely low quality loss |
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- | [Phi-3-mini-128k-instruct-Q8_0.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q8_0.gguf) | Q8_0 | 8 | 4.06 GB| very large, extremely low quality loss - not recommended |
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- | [Phi-3-mini-128k-instruct-f16.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-f16.gguf) | f16 | 16 | 7.64 GB| |
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-
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- *Quantized with llama.cpp b2961.*
 
1
+ ---
2
+ base_model: microsoft/Phi-3-mini-128k-instruct
3
+ license: mit
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+ license_link: https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/resolve/main/LICENSE
5
+ language:
6
+ - en
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+ pipeline_tag: text-generation
8
+ model_creator: Microsoft
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+ model_name: Phi 3 mini 128k instruct
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+ model_type: phi-msft
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+ quantized_by: Second State Inc.
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+ tags:
13
+ - nlp
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+ - code
15
+ ---
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+
17
+ <!-- header start -->
18
+ <!-- 200823 -->
19
+ <div style="width: auto; margin-left: auto; margin-right: auto">
20
+ <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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+ </div>
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+ <hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
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+ <!-- header end -->
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+
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+ # Phi-3-mini-128k-instruct-GGUF
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+
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+ ## Original Model
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+
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+ [microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct)
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+
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+ ## Run with LlamaEdge
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+
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+ <!-- - LlamaEdge version: [v0.8.4](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.8.4) and above -->
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+
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+ - LlamaEdge version: coming soon
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+
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+ - Prompt template
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+
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+ - Prompt type: `phi-3-chat`
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+
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+ - Prompt string
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+
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+ ```text
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+ <|system|>
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+ {system_message}<|end|>
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+ <|user|>
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+ {user_message_1}<|end|>
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+ <|assistant|>
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+ {assistant_message_1}<|end|>
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+ <|user|>
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+ {user_message_2}<|end|>
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+ <|assistant|>
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+ ```
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+
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+ - Context size: `128000`
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+
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+ <!-- - Run as LlamaEdge service
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+
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+ ```bash
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+ wasmedge --dir .:. --nn-preload default:GGML:AUTO:Phi-3-mini-128k-instruct-Q5_K_M.gguf \
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+ llama-api-server.wasm \
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+ --prompt-template phi-3-chat \
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+ --ctx-size 3072 \
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+ --model-name phi-3-mini
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+ ```
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+
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+ - Run as LlamaEdge command app
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+
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+ ```bash
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+ wasmedge --dir .:. --nn-preload default:GGML:AUTO:Phi-3-mini-128k-instruct-Q5_K_M.gguf \
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+ llama-chat.wasm \
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+ --prompt-template phi-3-chat \
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+ --ctx-size 3072 \
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+ ``` -->
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+
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+ ## Quantized GGUF Models
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+
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+ | Name | Quant method | Bits | Size | Use case |
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+ | ---- | ---- | ---- | ---- | ----- |
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+ | [Phi-3-mini-128k-instruct-Q2_K.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q2_K.gguf) | Q2_K | 2 | 1.42 GB| smallest, significant quality loss - not recommended for most purposes |
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+ | [Phi-3-mini-128k-instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 2.09 GB| small, substantial quality loss |
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+ | [Phi-3-mini-128k-instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 1.96 GB| very small, high quality loss |
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+ | [Phi-3-mini-128k-instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 1.68 GB| very small, high quality loss |
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+ | [Phi-3-mini-128k-instruct-Q4_0.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q4_0.gguf) | Q4_0 | 4 | 2.18 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
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+ | [Phi-3-mini-128k-instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 2.39 GB| medium, balanced quality - recommended |
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+ | [Phi-3-mini-128k-instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 2.19 GB| small, greater quality loss |
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+ | [Phi-3-mini-128k-instruct-Q5_0.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q5_0.gguf) | Q5_0 | 5 | 2.64 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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+ | [Phi-3-mini-128k-instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 2.82 GB| large, very low quality loss - recommended |
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+ | [Phi-3-mini-128k-instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 2.64 GB| large, low quality loss - recommended |
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+ | [Phi-3-mini-128k-instruct-Q6_K.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q6_K.gguf) | Q6_K | 6 | 3.14 GB| very large, extremely low quality loss |
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+ | [Phi-3-mini-128k-instruct-Q8_0.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-Q8_0.gguf) | Q8_0 | 8 | 4.06 GB| very large, extremely low quality loss - not recommended |
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+ | [Phi-3-mini-128k-instruct-f16.gguf](https://huggingface.co/second-state/Phi-3-mini-128k-instruct-GGUF/blob/main/Phi-3-mini-128k-instruct-f16.gguf) | f16 | 16 | 7.64 GB| |
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+
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+ *Quantized with llama.cpp b2961.*